conftrace_

image classification

2,178 papers

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IC

Co-occurring keywords · papers mentioning both

convolutional neural network (342) semantic segmentation (200) object detection (200) transfer learning (180) vision transformer (179) neural network (172) representation learning (165) data augmentation (150) multimodal learning (119) feature learning (109)

Papers

Real-Fake: Effective Training Data Synthesis Through Distribution Matching ICLR 2024 Recurrent neural network dynamical systems for biological vision NeurIPS 2024 REDUCR: Robust Data Downsampling using Class Priority Reweighting NeurIPS 2024 RepViT: Revisiting Mobile CNN From ViT Perspective CVPR 2024 Rethinking Robustness of Model Attributions AAAI 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024 Retrieval-enriched zero-shot image classification in low-resource domains EMNLP 2024 RMT: Retentive Networks Meet Vision Transformers CVPR 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024 Robust Unsupervised Domain Adaptation Through Negative-View Regularization WACV 2024 Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs ICLR 2024 SA²VP: Spatially Aligned-and-Adapted Visual Prompt AAAI 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation ICLR 2024 SBCFormer: Lightweight Network Capable of Full-Size ImageNet Classification at 1 FPS on Single Board Computers WACV 2024 SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification NeurIPS 2024 Self-supervised Transformation Learning for Equivariant Representations NeurIPS 2024 Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning AAAI 2024 Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification AAAI 2024 SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models NeurIPS 2024 Shape-Biased CNNs Are Not Always Superior in Out-of-Distribution Robustness WACV 2024 SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design CVPR 2024 SimCS: Simulation for Domain Incremental Online Continual Segmentation AAAI 2024