conftrace_

Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
'05
'10
'15
'20
'25

Papers (including subtopics)

Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure CVPR 2019
Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019
Deep Embedding Learning With Discriminative Sampling Policy CVPR 2019
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations CVPR 2019
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis CVPR 2019
Learning to Learn Relation for Important People Detection in Still Images CVPR 2019
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition CVPR 2019
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019
End-To-End Supervised Product Quantization for Image Search and Retrieval CVPR 2019
DSFD: Dual Shot Face Detector CVPR 2019
Deep Global Generalized Gaussian Networks CVPR 2019
Context-Aware Crowd Counting CVPR 2019
Detect-To-Retrieve: Efficient Regional Aggregation for Image Search CVPR 2019
Towards Accurate One-Stage Object Detection With AP-Loss CVPR 2019
Learning Without Memorizing CVPR 2019
Dynamic Recursive Neural Network CVPR 2019
Destruction and Construction Learning for Fine-Grained Image Recognition CVPR 2019
Distraction-Aware Shadow Detection CVPR 2019
Multi-Label Image Recognition With Graph Convolutional Networks CVPR 2019
High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection CVPR 2019
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019
Ranked List Loss for Deep Metric Learning CVPR 2019
CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning CVPR 2019
KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing CVPR 2019