image classification

Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening WACV 2026 Mitigating Negative Flips via Margin Preserving Training AAAI 2026 MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning AAAI 2026 OntoAug: Rethinking Generative Data Augmentation via Ontology Guidance CVPR 2026 ProtoGMVAE: A Variational Auto-Encoder with True Gaussian Mixture Prior for Prototypical-based Self-Explainability WACV 2026 Prototype-based Causal Intervention for Multi-Label Image Classification CVPR 2026 QuCNet: Quantum Deep Learning Driven Multi-Circuit Network for Remote Sensing Image Classification CVPR 2026 ReFTA: Breaking the Weight Reconstruction Bottleneck in Tensorized Parameter-Efficient Fine-Tuning CVPR 2026 REMEDIS: A Clinical AI Framework for Retinal Disease Diagnosis with Explainable Fundus Image Analysis AAAI 2026 RobustFormer: Noise-Robust Pre-training for Images and Videos WACV 2026 S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026 Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes CVPR 2026 SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization WACV 2026 Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models CVPR 2026 SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation WACV 2026 SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection WACV 2026 SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026 Stake the Points: Structure-Faithful Instance Unlearning CVPR 2026 Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability AAAI 2026 Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot AAAI 2026 Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models AAAI 2026 Temporal Representation Enhancement (TRE): Learning to Forget Dominant Patterns for Enhanced Temporal Spiking Features CVPR 2026 Trust-calibrated Collaborative Learning for Long-Tailed Visual Recognition CVPR 2026 Tunable Soft Equivariance with Guarantees CVPR 2026 Universal-to-Specific: Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide Image Classification CVPR 2026