https://github.com/ranchosky/oan
공식 코드Fewer is More: Efficient Object Detection in Large Aerial Images
Papers with Code 아카이브
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rango-zhang-hang/ntu-visual-recognition-via-vision-language-model-transfer
공식 코드M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection
https://github.com/raoyongming/PointGLR
공식 코드Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
https://github.com/rapisurazurite/camodiffusion
공식 코드CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
https://github.com/rayyoh/ocrm_survey
공식 코드A Survey of Embodied Learning for Object-Centric Robotic Manipulation
https://github.com/rbgirshick/fast-rcnn
공식 코드https://github.com/rbgirshick/py-faster-rcnn
공식 코드Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/rcorona/magic_snare
공식 코드Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding
https://github.com/rd20karim/mb-ores
공식 코드MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing
https://github.com/rdz98/unsup-vvs
공식 코드https://github.com/re-owod/re-owod
공식 코드https://github.com/reactivetype/simrod
공식 코드SimROD: A Simple Adaptation Method for Robust Object Detection
https://github.com/realtime-intelligence/evrt-detr
공식 코드EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision
https://github.com/realwecan/mju-waste
공식 코드https://github.com/redaigc/cq-dino
공식 코드CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
https://github.com/rederoth/aiconic_scandy
공식 코드https://github.com/rehg-lab/3dshapegen
공식 코드https://github.com/rehg-lab/dope_selfsup
공식 코드Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
https://github.com/rehg-lab/lsme
공식 코드https://github.com/rehglab/tracking_objectness
공식 코드https://github.com/reichlin/geomrepobj
공식 코드Learning Geometric Representations of Objects via Interaction
https://github.com/remaro-network/kd-yolox-vit
공식 코드Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
https://github.com/renato145/3D-ORGAN
공식 코드3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
https://github.com/renezurbruegg/icg_benchmark
공식 코드https://github.com/renll/RSAM
공식 코드Recurrent Soft Attention Model for Common Object Recognition
https://github.com/renwang435/cyborgs
공식 코드CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
https://github.com/repairproject/aafr
공식 코드https://github.com/researchmm/LightTrack
공식 코드LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
https://github.com/researchmm/TracKit
공식 코드https://github.com/rgeirhos/object-recognition
공식 코드Comparing deep neural networks against humans: object recognition when the signal gets weaker
https://github.com/rhgao/objectfolder
공식 코드ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer
https://github.com/riccardomajellaro/disentangled-slot-attention
공식 코드Explicitly Disentangled Representations in Object-Centric Learning
https://github.com/riced2klab/audubon_f21
공식 코드Deep object detection for waterbird monitoring using aerial imagery
https://github.com/ricsonc/ActiveVisionManipulation
공식 코드Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
https://github.com/rishabbala/contrastive_learning_for_object_detection
공식 코드https://github.com/rishavpramanik/maskedmultiqueryslot
공식 코드Masked Multi-Query Slot Attention for Unsupervised Object Discovery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.