Image Classification

ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect CVPR 2025 Spectral State Space Model for Rotation-Invariant Visual Representation Learning CVPR 2025 Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025 Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025 Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments EMNLP 2025 A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition AAAI 2024 Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training ACML 2024 Automatic pitch accent classification through image classification Interspeech 2024 A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract) AAAI 2024 Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales NeurIPS 2024 Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN AAAI 2024 Causal ATTention Multiple Instance Learning for Whole Slide Image Classification ACML 2024 Class Incremental Learning with Multi-Teacher Distillation CVPR 2024 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024 Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024 DDAE: Towards Deep Dynamic Vision BERT Pretraining AAAI 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization CVPR 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024 Efficient Modulation for Vision Networks ICLR 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024 Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing AAAI 2024 Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers NeurIPS 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning CVPR 2024