https://github.com/seermer/RTGen
공식 코드RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection
Papers with Code 아카이브
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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/segmentmeifyoucan/road-anomaly-benchmark
공식 코드https://github.com/sense-x/hop
공식 코드Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
https://github.com/sense-x/unihead
공식 코드https://github.com/separius/dilemma
공식 코드Representation Learning by Detecting Incorrect Location Embeddings
https://github.com/seqam-lab/alwod
공식 코드ALWOD: Active Learning for Weakly-Supervised Object Detection
https://github.com/sercharles/cn-rma
공식 코드https://github.com/serycjon/WOFT
공식 코드https://github.com/seungwonoh5/Adversarial_Attacks_against_Object_Detection
공식 코드Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
https://github.com/sfzhang15/ATSS
공식 코드https://github.com/sfzhang15/RefineDet
공식 코드https://github.com/sgi-2023/3d-building-classification
공식 코드https://github.com/sh8/repose
공식 코드RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering
https://github.com/shailaja183/objectconceptlearning
공식 코드Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts?
https://github.com/shakeebmurtaza/dips
공식 코드https://github.com/shakeebmurtaza/wsol_model_selection
공식 코드A Realistic Protocol for Evaluation of Weakly Supervised Object Localization
https://github.com/shangtse/robust-physical-attack
공식 코드ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
https://github.com/shanjiayao/ptt
공식 코드https://github.com/shanka123/ocra
공식 코드Systematic Visual Reasoning through Object-Centric Relational Abstraction
https://github.com/shanka123/slot-abstractor
공식 코드https://github.com/shanmo/OrcVIO-Stereo-Mapping
공식 코드OrcVIO: Object residual constrained Visual-Inertial Odometry
https://github.com/shanmo/orcvio-kitti-python
공식 코드OrcVIO: Object residual constrained Visual-Inertial Odometry
https://github.com/shanshuo/MVT
공식 코드MVT: Multi-view Vision Transformer for 3D Object Recognition
https://github.com/shanshuo/diagnosevrd
공식 코드https://github.com/shanshuo/social-fabric
공식 코드Social Fabric: Tubelet Compositions for Video Relation Detection
https://github.com/shaofeifei11/CI-CAM
공식 코드Improving Weakly-supervised Object Localization via Causal Intervention
https://github.com/shaofeifei11/kd-ci-cam
공식 코드Knowledge-guided Causal Intervention for Weakly-supervised Object Localization
https://github.com/shaohua0116/MultiDigitMNIST
공식 코드GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture
https://github.com/sharpiless/cascadev-det
공식 코드https://github.com/shaunyuan22/cfinet
공식 코드Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning
https://github.com/sheldontsui/gof_neurips2021
공식 코드Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
https://github.com/shen-aoyu/CREST
공식 코드https://github.com/shenao-zhang/StRA
공식 코드Structure-Regularized Attention for Deformable Object Representation
https://github.com/shengcao-cao/cmt
공식 코드Contrastive Mean Teacher for Domain Adaptive Object Detectors
https://github.com/shengcao-cao/hassod
공식 코드HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
https://github.com/shenglandu/pushboundary
공식 코드Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.