conftrace_
← Core AI
Computer Vision › Core AI ›

Computer Vision

2,278 papers

Papers per year

1
11
82
208
368
'05
'10
'15
'20
'25

Papers

Learning Prototype via Placeholder for Zero-shot Recognition IJCAI 2022
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022
Domain Adversarial Learning for Color Constancy IJCAI 2022
Single-Shot Path Integrated Panoptic Segmentation WACV 2022
Can contrastive learning avoid shortcut solutions? NIPS 2021
Implicit Semantic Response Alignment for Partial Domain Adaptation NIPS 2021
Unsupervised Foreground Extraction via Deep Region Competition NIPS 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Self-Supervised Learning with Kernel Dependence Maximization NIPS 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception NIPS 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
Relative Uncertainty Learning for Facial Expression Recognition NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks NIPS 2021
Compressive Visual Representations NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
Techniques for Symbol Grounding with SATNet NIPS 2021
SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021
Learning to Compose Visual Relations NIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing NIPS 2021
Efficient Training of Visual Transformers with Small Datasets NIPS 2021
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation NIPS 2021
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning NIPS 2021
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation NIPS 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021