https://github.com/hustvl/sparseinst
공식 코드Sparse Instance Activation for Real-Time Instance Segmentation
Papers with Code 아카이브
2D Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hustvl/vim
공식 코드Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
https://github.com/hustvl/weaksam
공식 코드WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
https://github.com/hustvl/yolop
공식 코드https://github.com/huuxiaobin/hitnet
공식 코드High-resolution Iterative Feedback Network for Camouflaged Object Detection
https://github.com/huyvvo/bib
공식 코드Active Learning Strategies for Weakly-supervised Object Detection
https://github.com/hvision-nku/camoformer
공식 코드CamoFormer: Masked Separable Attention for Camouflaged Object Detection
https://github.com/hvision-nku/conv2former
공식 코드Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
https://github.com/hvxlab/hvdetfusion
공식 코드HVDetFusion: A Simple and Robust Camera-Radar Fusion Framework
https://github.com/hwang1996/Meta-Concepts-for-Video-Captioning
공식 코드https://github.com/hy0523/mtnet
공식 코드Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
https://github.com/hyeon-jo/interchange-transfer-kd
공식 코드itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection
https://github.com/hyjhkoh/mgtanet
공식 코드https://github.com/hyunjs/sgt
공식 코드Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
https://github.com/hyz-xmaster/VarifocalNet
공식 코드https://github.com/hyz-xmaster/swa_object_detection
공식 코드https://github.com/hzai-zjnu/mamba-yolo
공식 코드Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
https://github.com/hzai-zjnu/remdet
공식 코드RemDet: Rethinking Efficient Model Design for UAV Object Detection
https://github.com/hzhupku/DCNet
공식 코드Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
https://github.com/hzx-9894/mma
공식 코드https://github.com/hzykent/JSENet
공식 코드JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
https://github.com/i-gao/adavision
공식 코드https://github.com/iVMCL/AOGNet-v2
공식 코드https://github.com/iVMCL/AOGNets
공식 코드AOGNets: Compositional Grammatical Architectures for Deep Learning
https://github.com/iai-hrc/ha-vid
공식 코드HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
https://github.com/iamaaditya/image-compression-cnn
공식 코드Semantic Perceptual Image Compression using Deep Convolution Networks
https://github.com/iasakit3t/shifnet
공식 코드https://github.com/ibm-aur-nlp/PubLayNet
공식 코드https://github.com/ibm-aur-nlp/PubTabNet
공식 코드https://github.com/ibm/synthtabnet
공식 코드TableFormer: Table Structure Understanding with Transformers
https://github.com/ibrahimethemhamamci/hierarchicaldet
공식 코드Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays
https://github.com/icarofua/vehicle-rear
공식 코드https://github.com/icey-zhang/E2E-MFD
공식 코드E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
https://github.com/icey-zhang/SuperYOLO
공식 코드SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
https://github.com/icey-zhang/ghost
공식 코드https://github.com/icvteam/pgnet
공식 코드Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.