https://github.com/chenhongyiyang/widthformer
공식 코드WidthFormer: Toward Efficient Transformer-based BEV View Transformation
Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chenjshnn/Object-Detection-for-Graphical-User-Interface
공식 코드Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
https://github.com/chenruirae/galaxysd
공식 코드Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation
https://github.com/chensnathan/SpatialFlow
공식 코드https://github.com/chensonglu/LPD-end-to-end
공식 코드End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
https://github.com/chensy7/efficient-vit
공식 코드Compressing Vision Transformers for Low-Resource Visual Learning
https://github.com/chenxi-guo/transgop
공식 코드https://github.com/chenyilun95/DSGN
공식 코드https://github.com/chenyilun95/dsgn2
공식 코드DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
https://github.com/chenzuge1/DSANet
공식 코드Decoupled Self Attention for Accurate One Stage Object Detection
https://github.com/chequanghuy/Character-Time-series-Matching
공식 코드Character Time-series Matching For Robust License Plate Recognition
https://github.com/chequanghuy/TwinLiteNet
공식 코드https://github.com/chequanghuy/TwinLiteNetPlus
공식 코드TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane Segmentation
https://github.com/chevalierNoir/asl-iter-attn
공식 코드Fingerspelling recognition in the wild with iterative visual attention
https://github.com/chips96/deyolo
공식 코드DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection
https://github.com/chongjiange/care
공식 코드Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
https://github.com/chongqingnosubway/pdl
공식 코드PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
https://github.com/chreisinger/ViLGOD
공식 코드Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection
https://github.com/chrisjtan/RWS
공식 코드A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
https://github.com/chriswise07/imperceptible-patch-generator
공식 코드https://github.com/chuanyangzheng/iformer
공식 코드iFormer: Integrating ConvNet and Transformer for Mobile Application
https://github.com/chumingqian/Model_Compression_For_YOLOV3-V4
공식 코드Group channel pruning and spatial attention distilling for object detection
https://github.com/chungyi347/interactive-multi-class-tiny-object-detection
공식 코드https://github.com/chunminghe/awesome-concealed-object-segmentation
공식 코드https://github.com/chunminghe/camouflageator
공식 코드https://github.com/chuxiuhong/dualteacher
공식 코드https://github.com/chwilms/AttentionMask
공식 코드AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
https://github.com/chwilms/superpixelRefinement
공식 코드https://github.com/cimagroup/experiments-surveygreenai
공식 코드An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
https://github.com/cimagroup/experimentsod-surveygreenai
공식 코드An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
https://github.com/cimagroup/surveygreenai
공식 코드An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
https://github.com/cinderyl/lidattack
공식 코드LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection
https://github.com/cityu-aim-group/nlte
공식 코드Towards Robust Adaptive Object Detection under Noisy Annotations
https://github.com/cityu-aim-group/sigma
공식 코드SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection
https://github.com/cjw2021/QAHOI
공식 코드QAHOI: Query-Based Anchors for Human-Object Interaction Detection
https://github.com/cjw2021/sov-stg
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.