Dynamic image super-resolution via progressive contrastive self-distillation

Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification

Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining

Variational Distillation for Multi-View Learning

Dehazeformer: Nonhomogeneous Image Dehazing With Collaborative Global-local Network

CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation

Gradient Projection For Parameter-Efficient Continual Learning

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification

FSRDiff: A fast diffusion-based super-resolution method using GAN

CLIP-Guided Federated Learning on Heterogeneous and Long-Tailed Data

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection

Efficient Lightweight Image Denoising with Triple Attention Transformer

SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution

AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Cross-Modal Match for Language Conditioned 3D Object Grounding

Progressive Contrastive Learning with Multi-Prototype for Unsupervised Visible-Infrared Person Re-identification

Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification

PROMPT GRADIENT PROJECTION FOR CONTINUAL LEARNING

Data-Free Learning for Lightweight Multi-Weather Image Restoration

EdgeFormer: Edge-Aware Efficient Transformer for Image Super-Resolution

Uni-to-Multi Modal Knowledge Distillation for Bidirectional LiDAR-Camera Semantic Segmentation

Image Priors Assisted Pre-training for Point Cloud Shape Analysis

Robust Degradation Representation via Efficient Diffusion Model for Blind Super-Resolution

Joint Motion Deblurring and Super-Resolution for Single Image Using Diffusion Model and GAN

Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Positive-Negative Receptive Field Reasoning for Omni-Supervised 3D Segmentation

Farewell to Cyclegan: Single Gan with Decoupled Constraint for Unpaired Image Dehazing

Cross-modal Unsupervised Domain Adaptation for 3D Semantic Segmentation via Bidirectional Fusion-then-Distillation

Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification

Hardware-friendly Scalable Image Super Resolution with Progressively Structured Sparsity

Bias to Balance: New-Knowledge-Preferred Few-Shot Class-Incremental Learning Via Transition Calibration

Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency

Cascaded Degradation-Aware Blind Super-Resolution

Dynamic Image Super-Resolution Via Progressive Contrastive Self-Distillation

Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting

Topology-guided Adversarial Deep Mutual Learning for Knowledge Distillation

Memory-friendly Scalable Super-resolution via Rewinding Lottery Ticket Hypothesis

Perturbed Progressive Learning for Semisupervised Defect Segmentation

Sample-Aware Knowledge Distillation for Long-Tailed Learning

Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling

Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference

Efficient Converted Spiking Neural Network for 3D and 2D Classification

BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation

Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification

VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning

Joint Feature Aggregation for Stereo Image Super-resolution

Instance and Category Supervision are Alternate Learners for Continual Learning

Learning Multi-Talented Image Restoration with Knowledge Factorization

Visible Embraces Infrared: Cross-Modality Person Re-Identification with Single-Modality Supervision

Knowledge Distillation on Multiple Experts for Long-Tailed Recognition

Tensor Multi-Task Learning for Multi-View Representation of 3D Shape

Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

Not all pixels are matched: Dense contrastive learning for cross-modality person re-identification

Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation

Self-supervised Exclusive Learning for 3D Segmentation with Cross-Modal Unsupervised Domain Adaptation

Hierarchical Walking Transformer for Object Re-Identification

Learning All-In Collaborative Multiview Binary Representation for Clustering

Uncertainty-Driven Dehazing Network

Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection

Variational Distillation for Multi-View Learning

FORGET LESS, COUNT BETTER: A DOMAIN-INCREMENTAL SELF-DISTILLATION LEARNING BENCHMARK FOR LIFELONG CROWD COUNTING

Dual Mutual Learning for Cross-Modality Person Re-Identification

Lattice Network for Lightweight Image Restoration

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results

Self-Mimic Mutual-Distillation for Cross-Modality Person Re-Identification

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning

Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification

Joint Deep Multi-View Learning for Image Clustering

Boosting Lightweight Single Image Super-resolution via Joint-distillation

Object Detection in Real-World Hazy Scene

Geometry-Aware Discriminative Dictionary Learning for PolSAR Image Classification

Robust Kernelized Multiview Self-Representation for Subspace Clustering

KeypointNet: Ranking Point Cloud for Convolution Neural Network

Using Conv-LSTM to Refine Features for Lightweight Image Super-Resolution Network

Contrastive Learning for Compact Single Image Dehazing

Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning

Joint regularization and low-rank fusion for atmospheric turbulence removal

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification

Learn from Concepts: Towards the Purified Memory for Few-shot Learning

Self-boosting for Feature Distillation

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation

Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation

Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

Few-shot learning with deformable convolution for multiscale lesion detection in mammography

NTIRE 2020 challenge on image demoireing: Methods and results

Knowledge transfer dehazing network for NonHomogeneous dehazing

Deep wavelet network with domain adaptation for single image demoireing

Trident dehazing network

Distilling Image Dehazing with Heterogeneous Task Imitation

Hierarchical knowledge squeezed adversarial network compression

Patch proposal network for fast semantic segmentation of high-resolution images

Meta segmentation network for ultra-resolution medical images

Scale robust deep oriented-text detection network

Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

Adversarial deep mutual learning

Joint-attention discriminator for accurate super-resolution via adversarial training

AIM 2019 challenge on image demoireing: Methods and results

A Butterfly Detection Algorithm Based on Transfer Learning and Deformable Convolution Deep Learning

Multi-scale Iterative Network for Underwater Image Restoration

An End-to-end Clustering and Classification Learning Network

Enhanced PIX2PIX dehazing network

Multi-scale adaptive dehazing network

NTIRE 2019 challenge on real image super-resolution: Methods and results

Bi-GANs-ST for perceptual image super-resolution

Underwater-GAN: Underwater Image Restoration via Conditional Generative Adversarial Network

Ontology-driven hierarchical sparse coding for large-scale image classification

Traffic-Sign Spotting in the Wild via Deep Features

Deeptongue: Tongue segmentation via resnet

Object detection based on deep learning of small samples

On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization

3D Reconstruction of Indoor Scenes via Image Registration

Joint dictionary learning via split bregman iteration for large-scale image classification

Traffic sign recognition with inception convolutional neural networks

Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning

Deformable feature pyramid network for ship recognition

Single-image super-resolution via joint statistic models-guided deep auto-encoder network

Joint Hierarchical Category Structure Learning and Large-Scale Image Classification

Scene text detection with text statistical characteristics and deep neural network

An automatic image-text alignment method for large-scale web image retrieval

Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression

Coupled autoencoder network with joint regularizations for image super-resolution

Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization

Image classification based on local spatial pyramid Kernel

Fast learning discriminative dictionaries for large-scale visual recognition

Image super-resolution base on multi-kernel regression

Parallel AP clustering and re-ranking for automatic image-text alignment and large-scale web image search

Learning local Gaussian process regression for image super-resolution

Hierarchical learning for large-scale image classification via CNN and maximum confidence path

Text localization with hierarchical multiple feature learning

Evaluation of local features and classifiers in BOW model for image classification

Discriminative Object Tracking via Sparse Representation and Online Dictionary Learning

Discriminative subspace learning with sparse representation view-based model for robust visual tracking

Image super-resolution using deep belief networks

Structure context clues for Chinese text detection

Super-resolution based on fast linear kernel regression

Image denoising via nonlocally sparse coding and tensor decomposition

Weakly-supervised object localization in unlabeled image collection

Image super-resolution based on data-driven gaussian process regression

Hierarchical text detection: From word level to character level

Traffic sign detection based on camera imaging apriority

Class-specified segmentation with multi-scale superpixels

Spatial min-Hash for similar image search

Computational Analysis of miRNA Target Identification

Online multiple instance gradient feature selection for robust visual tracking

Instance-level landmark labeling via multi-layer superpixels

A fast and effective algorithm for image co-segmentation

Color fused multiple features for traffic sign recognition

Image super-resolution based on multikernel regression

Object localization based on discriminative visual words

Computational analysis of miRNA target identification

Exploiting context aware category discovery for image labeling

Visual object localization in image collections

Multi-class spectral clustering based on particle swarm optimization

Text detection in images based on Multiple Kernel Learning

Weakly supervised landmark labeling in searched data

Optimal operations for visual categorization

Image labeling via incremental model learning

ID numbers recognition by local similarity voting

Two-stage localization for image labeling

Component localization in face alignment

Foreground objects recognition in video based on bag-of-words model

Unifying visual saliency with HOG feature learning for traffic sign detection

The comparison of classifiers for object categorization based on bag-of-word technology

Automatic online labeling images via co-active-learning

Multi-class spectral clustering based on particle swarm optimization

A visual attention model for dynamic scenes based on two-pathway processing in brain

A sequential subspace learning method and its application to dynamic texture analysis

Salient building detection based on SVM

Airport detection algorithm based on support vector machine

A boosting SVM chain learning for visual informat ion retrieval

A boosting SVM chain learning for visual information retrieval

Building a sparse kernel classifier on riemannian manifold

Salient building detection in natural image using SVM

Airport detection base on support vector machine from a single image

Using wavelet transform to estimate the eigenfunctions of Karhunen-Loeve expansion

Updating algorithm for extracting the basis of karhunen-loeve transform in non-zero mean data

Sequential updating algorithm for extracting the basis of Karhunen-Loeve transformation

Adaptive chaotic watermarks recovering without referring to the original image