https://github.com/Eli-YiLi/ScaleNet
공식 코드Data-Driven Neuron Allocation for Scale Aggregation Networks
Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/EricFH/salient_object_ranking_with_PPA
공식 코드https://github.com/EverettRichards/Edge-CAV
공식 코드Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception
https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DINO
공식 코드Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DPT
공식 코드Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-Segmenter
공식 코드Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
https://github.com/FOD-UNOmaha/FOD-data
공식 코드https://github.com/FZJ-INM1-BDA/celldetection
공식 코드Contour Proposal Networks for Biomedical Instance Segmentation
https://github.com/FabianAmherd/CNN_ER_FA
공식 코드Heatmap-based Object Detection and Tracking with a Fully Convolutional Neural Network
https://github.com/FangyunWei/PointSetAnchor
공식 코드Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
https://github.com/Fastcode/VisualMesh
공식 코드Visual Mesh: Real-time Object Detection Using Constant Sample Density
https://github.com/FenHua/DetDak
공식 코드Object Hider: Adversarial Patch Attack Against Object Detectors
https://github.com/Fengxiang23/SelectiveMAE
공식 코드Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset
https://github.com/FishYuLi/BalancedGroupSoftmax
공식 코드Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
https://github.com/FoundationVision/GLEE
공식 코드General Object Foundation Model for Images and Videos at Scale
https://github.com/FraunhoferMEVIS/MedicalMultitaskModeling
공식 코드Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
https://github.com/Fredrik00/avod
공식 코드https://github.com/Fsoft-AIC/TP-GMOT
공식 코드TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT
https://github.com/GAP-LAB-CUHK-SZ/TO-Scene
공식 코드TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes
https://github.com/GT-Wei/RT-OVAD
공식 코드OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion
https://github.com/GangmingZhao/GraphFPN-Graph-Feature-Pyramid-Network-for-Object-Detection
공식 코드GraphFPN: Graph Feature Pyramid Network for Object Detection
https://github.com/GanlongZhao/CST_DA_detection
공식 코드https://github.com/Geo-Tell/AncRec
공식 코드https://github.com/GeoX-Lab/G-RSIM
공식 코드https://github.com/GeorgeDu/vision-based-robotic-grasping
공식 코드https://github.com/GewelsJI/FSNet
공식 코드https://github.com/GewelsJI/SINet-V2
공식 코드https://github.com/GoatWu/AdaLog
공식 코드AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
https://github.com/GongCheng1919/VecQ
공식 코드VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization
https://github.com/GothicAi/InstaBoost
공식 코드InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
https://github.com/GuanRunwei/Achelous
공식 코드https://github.com/GuanRunwei/Efficient-VRNet
공식 코드https://github.com/Guanghan/DANR
공식 코드Data Augmentation for Object Detection via Differentiable Neural Rendering
https://github.com/GuangxingHan/QA-FewDet
공식 코드Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
https://github.com/Gumpest/AvatarKD
공식 코드Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty
https://github.com/HCIILAB/DeRPN
공식 코드DeRPN: Taking a further step toward more general object detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.