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Representation Learning

4516 directly classified papers

Papers per year

Papers

Foreground-Aware Image Inpainting CVPR 2019
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors CVPR 2019
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection CVPR 2019
Distraction-Aware Shadow Detection CVPR 2019
Destruction and Construction Learning for Fine-Grained Image Recognition CVPR 2019
Dynamic Recursive Neural Network CVPR 2019
Context-Aware Crowd Counting CVPR 2019
End-To-End Supervised Product Quantization for Image Search and Retrieval CVPR 2019
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification CVPR 2019
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning CVPR 2019
SpotTune: Transfer Learning Through Adaptive Fine-Tuning CVPR 2019
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? CVPR 2019
Gait Recognition via Disentangled Representation Learning CVPR 2019
Graph Convolutional Tracking CVPR 2019
SelFlow: Self-Supervised Learning of Optical Flow CVPR 2019
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction CVPR 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space CVPR 2019
A General and Adaptive Robust Loss Function CVPR 2019
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence CVPR 2019
Iterative Alignment Network for Continuous Sign Language Recognition CVPR 2019
Unsupervised Image Captioning CVPR 2019
Scene Categorization From Contours: Medial Axis Based Salience Measures CVPR 2019
Emotion-Aware Human Attention Prediction CVPR 2019
Classification-Reconstruction Learning for Open-Set Recognition CVPR 2019
Part-Regularized Near-Duplicate Vehicle Re-Identification CVPR 2019