https://github.com/rmokady/clip_prefix_caption
Unified Vision-Language Pre-Training for Image Captioning and VQA
Papers with Code 아카이브
NLP based Person Retrival
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rnlee1998/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
https://github.com/roboflow/rf-detr
LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection
https://github.com/rodinhd/rodinhd
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
https://github.com/rohan400/PepperQA
https://github.com/rohanchandra30/TrackNPred
Convolutional Social Pooling for Vehicle Trajectory Prediction
https://github.com/rohilrao/DeepLearning_with_PyTorch
https://github.com/rohit-kundu/mfsnet
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
https://github.com/rohithreddy024/Text-Summarizer-Pytorch
https://github.com/rojagtap/abstractive_summarizer
https://github.com/romankoshkin/transllama
https://github.com/roomylee/rnn-text-classification-tf
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
https://github.com/roshantac/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/rosinality/lvpga-pytorch
https://github.com/rosinality/ocr-pytorch
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
https://github.com/rosinality/vq-vae-2-pytorch
https://github.com/rotemgoren/segNet
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/royshil/obs-backgroundremoval
https://github.com/roythuly/obac
TD-MPC2: Scalable, Robust World Models for Continuous Control
https://github.com/rparkin1/intent_LSTM
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
https://github.com/rpuiggari/bert2
https://github.com/rramjee/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/rsha0812/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/rshin/seq2struct
Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers
https://github.com/rsin46/pegasus-demo
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
https://github.com/rsn870/VQ-VAE
https://github.com/rsreetech/PegasusDemo
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
https://github.com/rubenvillegas/iclr2017mcnet
Decomposing Motion and Content for Natural Video Sequence Prediction
https://github.com/rubenvillegas/icml2017hierchvid
Learning to Generate Long-term Future via Hierarchical Prediction
https://github.com/rubics-xuan/transbts
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
https://github.com/ruc-aimc-lab/nt2vr
A Joint Sequence Fusion Model for Video Question Answering and Retrieval
https://github.com/rudolfsteiner/fast_scnn
https://github.com/ruiyiw/VT-summ
https://github.com/rungjoo/Stable-Style-Transformer
Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer
https://github.com/runlinwang/ExploringMusicVAE
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
https://github.com/runpeidong/act
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.