visual classification

Retrieval-driven Reasoning for Deliberative Visual Classification AAAI 2026 Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers ICML 2025 Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification ICCV 2025 Enhancing Visual Classification using Comparative Descriptors WACV 2025 Self-Evolving Visual Concept Library using Vision-Language Critics CVPR 2025 Semantic-Space-Intervened Diffusive Alignment for Visual Classification IJCAI 2025 Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy WACV 2025 Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision AAAI 2025 Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry ICLR 2025 CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation CVPR 2024 Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NeurIPS 2024 Label-Focused Inductive Bias over Latent Object Features in Visual Classification ICLR 2024 PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts ICLR 2024 MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields EMNLP 2023 Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research JMLR 2023 Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts ICCV 2023 When Does Contrastive Visual Representation Learning Work? CVPR 2022 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 Towards Context-Agnostic Learning Using Synthetic Data NeurIPS 2021 L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization WACV 2020 Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget CVPR 2020 Shaping Visual Representations with Language for Few-Shot Classification ACL 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020 Many Task Learning With Task Routing ICCV 2019 Predicting the Politics of an Image Using Webly Supervised Data NeurIPS 2019