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object detection

2759 papers

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Also known as

UAV-OD DETR YOLO OD

Co-occurring keywords

semantic segmentation (3179) convolutional neural network (4216) instance segmentation (733) domain adaptation (4578) image classification (1943) autonomous driving (1142) transfer learning (5442) neural network (6616) weakly supervised learning (1323) knowledge distillation (3680)

Papers

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks CVPR 2021
Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection CVPR 2021
Decoupled Dynamic Filter Networks CVPR 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021
Spatially Consistent Representation Learning CVPR 2021
Instance-Conditional Knowledge Distillation for Object Detection NIPS 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning NIPS 2021
SOLQ: Segmenting Objects by Learning Queries NIPS 2021
Domain Adaptive YOLO for One-Stage Cross-Domain Detection ACML 2021
DeepMark++: Real-Time Clothing Detection at the Edge WACV 2021
Set Prediction in the Latent Space NIPS 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection NIPS 2021
RarePlanes: Synthetic Data Takes Flight WACV 2021
Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars NIPS 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter RSS 2021
Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection AAAI 2021
Large-Scale Unsupervised Object Discovery NIPS 2021
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021
Searching Parameterized AP Loss for Object Detection NIPS 2021
KGDet: Keypoint-Guided Fashion Detection AAAI 2021
An Empirical Study of Adder Neural Networks for Object Detection NIPS 2021
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation NIPS 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers NIPS 2021
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation NIPS 2021