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Dense Object Detection

Papers

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Showing 1–32 of 32 papers

TitleStatusHype
VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection—0
Dense Object Detection Based on De-homogenized Queries—0
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection—0
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeCode0
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering RefinementCode3
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object DetectionCode1
CrossKD: Cross-Head Knowledge Distillation for Object DetectionCode1
Ambiguity-Resistant Semi-Supervised Learning for Dense Object DetectionCode0
Transferring dense object detection models to event-based data—0
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair SelectionCode1
Unitail: Detecting, Reading, and Matching in Retail Scene—0
PP-YOLOE: An evolved version of YOLOCode4
Prediction-Guided Distillation for Dense Object DetectionCode1
Mutual Supervision for Dense Object Detection—0
Rethinking the Misalignment Problem in Dense Object DetectionCode0
Semi-supervised Learning for Dense Object Detection in Retail Scenes—0
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology imagesCode1
Localization Distillation for Dense Object DetectionCode1
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object DetectionCode0
Robust and Efficient Post-Processing for Video Object Detection (REPP)Code1
A Solution to Product detection in Densely Packed ScenesCode1
BorderDet: Border Feature for Dense Object DetectionCode1
AutoAssign: Differentiable Label Assignment for Dense Object DetectionCode1
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object DetectionCode3
Learning Gaussian Maps for Dense Object Detection—0
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object DetectionCode0
Mixture Dense Regression for Object Detection and Human Pose EstimationCode0
Soft Anchor-Point Object DetectionCode0
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection—0
Precise Detection in Densely Packed ScenesCode1
Focal Loss for Dense Object DetectionCode2
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning—0
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