https://github.com/dd1497/cro-diachronic-emb
공식 코드Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
Papers with Code 아카이브
2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dddraxxx/weakly-supervised-camouflaged-object-detection-with-scribble-annotations
공식 코드Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
https://github.com/dddzg/up-detr
공식 코드UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
https://github.com/ddjiajun/SSVD
공식 코드https://github.com/declare-lab/wikides
공식 코드WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs
https://github.com/decurtoidiaz/ce4
공식 코드Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4
https://github.com/deep-fry/mayo
공식 코드https://github.com/deep-privacy/SA-toolkit
공식 코드Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
https://github.com/deepcam-cn/yolov5-face
공식 코드https://github.com/deeplearning-wisc/stud
공식 코드Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
https://github.com/deeplearning-wisc/vos
공식 코드VOS: Learning What You Don't Know by Virtual Outlier Synthesis
https://github.com/deeplearnxmu/sea-dialoggen
공식 코드Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production
https://github.com/deepmed-lab-ecnu/single-image-deblur
공식 코드https://github.com/deepmed-lab/deeprft-aaai2023
공식 코드Intriguing Findings of Frequency Selection for Image Deblurring
https://github.com/deepmind/deepmind-research
공식 코드Unsupervised Learning of Object Keypoints for Perception and Control
https://github.com/deepmind/deepmind-research/tree/master/wikigraphs
공식 코드WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
https://github.com/deepmind/spriteworld
공식 코드Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
https://github.com/deepmind/streamingqa
공식 코드StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
https://github.com/deeppathology/hierarchicalfcos
공식 코드https://github.com/deepplants/vit-pcm
공식 코드https://github.com/deepsemantic/image_captioning
공식 코드https://github.com/deepshwang/vegs
공식 코드VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
https://github.com/deeptibhegde/attentiveprototypesfuda
공식 코드Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection
https://github.com/deguchihiroyuki/e2gs
공식 코드https://github.com/deku-0621/tide
공식 코드https://github.com/dell-research-harvard/NEWS-COPY
공식 코드https://github.com/dell-research-harvard/newswire
공식 코드Newswire: A Large-Scale Structured Database of a Century of Historical News
https://github.com/deng-ai-lab/swformer
공식 코드https://github.com/dengnianchen/fovnerf
공식 코드FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality
https://github.com/dengpingfan/fsgan
공식 코드https://github.com/dengpingfan/sodbenchmark
공식 코드https://github.com/derekabc/gans-agriculture
공식 코드Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
https://github.com/derrickxunu/cobevt
공식 코드CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
https://github.com/derrickxunu/mpda
공식 코드https://github.com/derryhub/fairmot-attack
공식 코드Tracklet-Switch Adversarial Attack against Pedestrian Multi-Object Tracking Trackers
https://github.com/destiny301/dpr
공식 코드Patch-based Selection and Refinement for Early Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.