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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/batsresearch/csp
공식 코드Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
https://github.com/baurst/liso
공식 코드https://github.com/baxiyi/dut-useg
공식 코드https://github.com/bayesianempirimancer/pyDMBD
공식 코드Dynamic Markov Blanket Detection for Macroscopic Physics Discovery
https://github.com/bbdjj/CGCOD
공식 코드https://github.com/bcmi/ArtoPIH-Painterly-Image-Harmonization
공식 코드Painterly Image Harmonization by Learning from Painterly Objects
https://github.com/bcmi/Awesome-Image-Composition
공식 코드Making Images Real Again: A Comprehensive Survey on Deep Image Composition
https://github.com/bcmi/FOPA-Fast-Object-Placement-Assessment
공식 코드https://github.com/bcmi/Object-Placement-Assessment-Dataset-OPA
공식 코드https://github.com/bcmi/Object-Shadow-Generation-Dataset-DESOBA
공식 코드https://github.com/bcmi/awesome-object-insertion
공식 코드Making Images Real Again: A Comprehensive Survey on Deep Image Composition
https://github.com/bcmi/foreground-object-search-dataset-fosd
공식 코드Foreground Object Search by Distilling Composite Image Feature
https://github.com/bcmi/graconet-object-placement
공식 코드https://github.com/bcmi/libcom
공식 코드Making Images Real Again: A Comprehensive Survey on Deep Image Composition
https://github.com/bcmi/mureobjectstitch-image-composition
공식 코드https://github.com/bcmi/object-shadow-generation-dataset-desobav2
공식 코드DESOBAv2: Towards Large-scale Real-world Dataset for Shadow Generation
https://github.com/bcmi/rendered-shadow-generation-dataset-rdsoba
공식 코드Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling
https://github.com/bcmi/tramas-weak-shot-object-detection
공식 코드Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
https://github.com/bcv-uniandes/egocol
공식 코드https://github.com/behretj/LostFound
공식 코드Lost & Found: Tracking Changes from Egocentric Observations in 3D Dynamic Scene Graphs
https://github.com/bellatong/meunet
공식 코드Multi-scale Edge-based U-shape Network for Salient Object Detection
https://github.com/benjaminrwilson/range-view-3d-detection
공식 코드https://github.com/bertinetto/siamese-fc
공식 코드https://github.com/bethgelab/imagecorruptions
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
https://github.com/bethgelab/mmdetection
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
https://github.com/bethgelab/robust-detection-benchmark
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
https://github.com/bethgelab/stylize-datasets
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
https://github.com/bharathprabakaran/boundarycam
공식 코드https://github.com/bharathprabakaran/refit
공식 코드https://github.com/bighuang624/troika
공식 코드Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
https://github.com/bigvideoresearch/OIM
공식 코드Object Instance Mining for Weakly Supervised Object Detection
https://github.com/bigwangyudong/lqit
공식 코드https://github.com/billchan226/halc
공식 코드HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
https://github.com/bimsarapathiraja/mccl
공식 코드Multiclass Confidence and Localization Calibration for Object Detection
https://github.com/bingqingzhang/odd-vod
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.