09_Others

Dataset:

Metrics:

Others

• [AAAI] Learning Modulated Loss for Rotated Object Detection

• [AAAI] R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

• [WACV] Disentangled Contour Learning for Quadrilateral Text Detection

• Probabilistic Anchor Assignment with IoU Prediction for Object Detection_ECCV_2020

• Location-Sensitive Visual Recognition with Cross-IOU Loss_2021

• Matrix Nets: A New Deep Architecture for Object Detection_2019

• A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection_NIPS_2020

• Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms_2021

• Rank & Sort Loss for Object Detection and Instance Segmentation_2021

• Dual Attention Guided Gaze Target Detection in the Wild_CVPR_2021

• I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors_CVPR_2021

• TOOD: Task-aligned One-stage Object Detection_2021 [Paper]

• Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression [Paper]

• Points as Queries: Weakly Semi-supervised Object Detection by Points [Link]

• CBNetV2: A Composite Backbone Network Architecture for Object Detection

• Dynamic Head: Unifying Object Detection Heads with Attentions_CVPR_2021

• Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation_CVPR_2021

• Probabilistic two-stage detection_2021

• You Only Learn One Representation: Unified Network for Multiple Tasks_2021

• USB: Universal-Scale Object Detection Benchmark_2021

• OTA: Optimal Transport Assignment for Object Detection_CVPR_2021

• YOLOX: Exceeding YOLO Series in 2021_2021 [Paper] [Code]

• RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features_CVPR_2021

• CE-FPN: Enhancing Channel Information for Object Detection_2021

Rotation

• Oriented R-CNN for Object Detection_2021 [Paper]

References: