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Dense Object Detection

Papers

Showing 132 of 32 papers

TitleStatusHype
PP-YOLOE: An evolved version of YOLOCode4
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object DetectionCode3
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering RefinementCode3
Focal Loss for Dense Object DetectionCode2
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair SelectionCode1
CrossKD: Cross-Head Knowledge Distillation for Object DetectionCode1
A Solution to Product detection in Densely Packed ScenesCode1
AutoAssign: Differentiable Label Assignment for Dense Object DetectionCode1
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology imagesCode1
BorderDet: Border Feature for Dense Object DetectionCode1
Robust and Efficient Post-Processing for Video Object Detection (REPP)Code1
Localization Distillation for Dense Object DetectionCode1
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object DetectionCode1
Precise Detection in Densely Packed ScenesCode1
Prediction-Guided Distillation for Dense Object DetectionCode1
VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection0
Dense Object Detection Based on De-homogenized Queries0
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection0
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection0
Learning Gaussian Maps for Dense Object Detection0
Mutual Supervision for Dense Object Detection0
Semi-supervised Learning for Dense Object Detection in Retail Scenes0
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning0
Transferring dense object detection models to event-based data0
Unitail: Detecting, Reading, and Matching in Retail Scene0
Ambiguity-Resistant Semi-Supervised Learning for Dense Object DetectionCode0
Soft Anchor-Point Object DetectionCode0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
Rethinking the Misalignment Problem in Dense Object DetectionCode0
Mixture Dense Regression for Object Detection and Human Pose EstimationCode0
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object DetectionCode0
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object DetectionCode0
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