https://github.com/pku-icst-mipl/sia-ovd_acmmm2024
공식 코드SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pku-yuangroup/holotime
공식 코드HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation
https://github.com/pkuliyi2015/sd-webui-stablesr
공식 코드Exploiting Diffusion Prior for Real-World Image Super-Resolution
https://github.com/pkuxmq/Invertible-Image-Rescaling
공식 코드https://github.com/pl-share/mpsn
공식 코드MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings
https://github.com/plant-ai-biophysics-lab/agile
공식 코드https://github.com/plemeri/inspyrenet
공식 코드Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
https://github.com/plemeri/transparent-background
공식 코드Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
https://github.com/plpl2019/tpa
공식 코드Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
https://github.com/plusgood-steven/id-blau
공식 코드ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
https://github.com/pmclSF/DeepCompress
공식 코드https://github.com/pnavarre/esr
공식 코드https://github.com/pointscoder/awesome-3d-object-detection-for-autonomous-driving
공식 코드3D Object Detection for Autonomous Driving: A Comprehensive Survey
https://github.com/polltooh/traffic_video_analysis
공식 코드Understanding Traffic Density from Large-Scale Web Camera Data
https://github.com/ponteineptique/yaltai
공식 코드https://github.com/poodarchu/Class-balanced-Grouping-and-Sampling-for-Point-Cloud-3D-Object-Detection
공식 코드Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
https://github.com/poodarchu/ConQueR
공식 코드https://github.com/poori-nuna/hod-benchmark-dataset
공식 코드https://github.com/poppinace/sapa
공식 코드SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
https://github.com/pp00704831/Stripformer
공식 코드https://github.com/pp00704831/banet
공식 코드BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
https://github.com/ppengtang/oicr
공식 코드Multiple Instance Detection Network with Online Instance Classifier Refinement
https://github.com/ppplang/e2fif
공식 코드https://github.com/ppwwyyxx/GroupNorm-reproduce
공식 코드https://github.com/ppwwyyxx/tensorpack
공식 코드https://github.com/prajjwal1/autonomous-object-detection
공식 코드On Generalizing Detection Models for Unconstrained Environments
https://github.com/prakharg24/yoloret
공식 코드YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
https://github.com/pranavphoenix/WaveMixSR
공식 코드WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
https://github.com/prannaykaul/lvc
공식 코드Label, Verify, Correct: A Simple Few Shot Object Detection Method
https://github.com/pratikkayal/PlantDoc-Dataset
공식 코드https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset
공식 코드https://github.com/prbonn/simp
공식 코드Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
https://github.com/previtus/AttentionPipeline
공식 코드Fast and accurate object detection in high resolution 4K and 8K video using GPUs
https://github.com/princeton-computational-imaging/DirtyPixels
공식 코드Dirty Pixels: Towards End-to-End Image Processing and Perception
https://github.com/princeton-computational-imaging/SeeingThroughFog
공식 코드Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
https://github.com/princeton-computational-imaging/joint-lens-design
공식 코드The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.