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2D Classification

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/google-research-datasets/wit/blob/main/wikiweb2m.md

공식 코드

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding

https://github.com/google-research/augmix

공식 코드

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

https://github.com/google-research/big_vision

공식 코드

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

https://github.com/google-research/deeplab2

공식 코드

kMaX-DeepLab: k-means Mask Transformer

https://github.com/google-research/google-research

공식 코드

Stand-Alone Self-Attention in Vision Models

https://github.com/google-research/google-research/tree/master/dreamfields

공식 코드

Zero-Shot Text-Guided Object Generation with Dream Fields

https://github.com/google-research/google-research/tree/master/fvlm

공식 코드

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models

https://github.com/google-research/google-research/tree/master/fvlm/dito

공식 코드

Region-centric Image-Language Pretraining for Open-Vocabulary Detection

https://github.com/google-research/google-research/tree/master/fvlm/rovit

공식 코드

Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers

https://github.com/google-research/google-research/tree/master/light_field_neural_rendering

공식 코드

Light Field Neural Rendering

https://github.com/google-research/google-research/tree/master/muller

공식 코드

MULLER: Multilayer Laplacian Resizer for Vision

https://github.com/google-research/maxim

공식 코드

MAXIM: Multi-Axis MLP for Image Processing

https://github.com/google-research/maxvit

공식 코드

MaxViT: Multi-Axis Vision Transformer

https://github.com/google-research/pix2seq

공식 코드

Pix2seq: A Language Modeling Framework for Object Detection

https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit

공식 코드

Simple Open-Vocabulary Object Detection with Vision Transformers

https://github.com/google-research/social_cascades

공식 코드

Recurrent Graph Neural Networks for Rumor Detection in Online Forums

https://github.com/google-research/ssl_detection

공식 코드

A Simple Semi-Supervised Learning Framework for Object Detection

https://github.com/google-research/vision_transformer

공식 코드

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

https://github.com/google/automl

공식 코드

EfficientDet: Scalable and Efficient Object Detection

https://github.com/google/spiqa

공식 코드

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

https://github.com/gorilla-lab-scut/vista

공식 코드

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

https://github.com/gouqi666/rast

공식 코드

Diversify Question Generation with Retrieval-Augmented Style Transfer

https://github.com/gpt4vision/OvSGTR

공식 코드

Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention

https://github.com/gqding/SUDF

공식 코드

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task

https://github.com/graph-axis/gcleaner

공식 코드

"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning

https://github.com/grasses/poisonprompt

공식 코드

PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models

https://github.com/griffbr/ODMD

공식 코드

Depth from Camera Motion and Object Detection

https://github.com/griffbr/tfod

공식 코드

Mobile Robot Manipulation using Pure Object Detection

https://github.com/grigorisg9gr/polynomials-for-augmenting-nns

공식 코드

Augmenting Deep Classifiers with Polynomial Neural Networks

https://github.com/grishavak/Patch_Ordering_as_a_Regularization_for_Inverse_Problems_in_Image_Processing

공식 코드

Patch-Ordering as a Regularization for Inverse Problems in Image Processing

https://github.com/grispeut/Feature-Alignment

공식 코드

Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection

https://github.com/grispeut/udfa

공식 코드

Robust and Accurate Object Detection via Self-Knowledge Distillation

https://github.com/grokcv/hazydet

공식 코드

HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes

https://github.com/ground-a-video/ground-a-video

공식 코드

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models

https://github.com/gsavathrakis/enact

공식 코드

ENACT: Entropy-based Clustering of Attention Input for Improving the Computational Performance of Object Detection Transformers

https://github.com/gsh199449/heteroqa

공식 코드

HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.