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Object Detection

4,772 papers

Papers per year

Papers

K-Net: Towards Unified Image Segmentation NIPS 2021
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation NIPS 2021
Bootstrap Your Object Detector via Mixed Training NIPS 2021
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection NIPS 2021
Progressive Coordinate Transforms for Monocular 3D Object Detection NIPS 2021
Hard-Attention for Scalable Image Classification NIPS 2021
Unadversarial Examples: Designing Objects for Robust Vision NIPS 2021
Overinterpretation reveals image classification model pathologies NIPS 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction NIPS 2021
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach NIPS 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
Few-Shot Object Detection via Association and DIscrimination NIPS 2021
Large-Scale Unsupervised Object Discovery NIPS 2021
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NIPS 2021
Container: Context Aggregation Networks NIPS 2021
Referring Transformer: A One-step Approach to Multi-task Visual Grounding NIPS 2021
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021
Object DGCNN: 3D Object Detection using Dynamic Graphs NIPS 2021
Searching Parameterized AP Loss for Object Detection NIPS 2021
Revisiting ResNets: Improved Training and Scaling Strategies NIPS 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection NIPS 2021
Intriguing Properties of Vision Transformers NIPS 2021
Recognizing Vector Graphics without Rasterization NIPS 2021
Dual-stream Network for Visual Recognition NIPS 2021