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2D Classification

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

https://github.com/allambert/torch_itl

공식 코드

Emotion Transfer Using Vector-Valued Infinite Task Learning

https://github.com/allenai/SciREX

공식 코드

SciREX: A Challenge Dataset for Document-Level Information Extraction

https://github.com/allenai/ai2thor

공식 코드

AI2-THOR: An Interactive 3D Environment for Visual AI

https://github.com/allenai/citeomatic

공식 코드

Content-Based Citation Recommendation

https://github.com/allenai/container

공식 코드

Container: Context Aggregation Network

https://github.com/allenai/interactron

공식 코드

Interactron: Embodied Adaptive Object Detection

https://github.com/allenai/sdi-detection

공식 코드

SUPP.AI: Finding Evidence for Supplement-Drug Interactions

https://github.com/allenai/tailor

공식 코드

Tailor: Generating and Perturbing Text with Semantic Controls

https://github.com/allenchen1998/rad

공식 코드

Relevance Attack on Detectors

https://github.com/alobashev/mkl-vc

공식 코드

Training-Free Voice Conversion with Factorized Optimal Transport

https://github.com/alon-albalak/xor-covid

공식 코드

Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains

https://github.com/alpha-innovator/surveyforge

공식 코드

SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing

https://github.com/alpha-vl/convmae

공식 코드

ConvMAE: Masked Convolution Meets Masked Autoencoders

https://github.com/alpha-vllm/llama2-accessory

공식 코드

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

https://github.com/alphaplustt/daocc

공식 코드

DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction

https://github.com/alsayyahi/timeline

공식 코드

TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles

https://github.com/altair199797/lowformer

공식 코드

LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones

https://github.com/altndrr/vic

공식 코드

Vocabulary-free Image Classification

https://github.com/altndrr/vicss

공식 코드

Vocabulary-free Image Classification and Semantic Segmentation

https://github.com/aluo-x/3D_SLN

공식 코드

End-to-End Optimization of Scene Layout

https://github.com/alvariseppanen/smednet

공식 코드

Multi-Echo Denoising in Adverse Weather

https://github.com/alvarocavalcante/multi-cue-sign-language

공식 코드

Sign language recognition based on deep learning and low-cost handcrafted descriptors

https://github.com/alyasltd/conformal_runway_detection

공식 코드

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP

https://github.com/amajee11us/smile-fsod

공식 코드

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection

https://github.com/amandafi/human-writing-vs.-gpt-writing

공식 코드

Detection of news written by the ChatGPT through authorship attribution performed by a Bidirectional LSTM model

https://github.com/amanmohanty/idl-nncompress

공식 코드

Efficient CNN-LSTM based Image Captioning using Neural Network Compression

https://github.com/amanpreet692/Open4Business

공식 코드

Open4Business(O4B): An Open Access Dataset for Summarizing Business Documents

https://github.com/amanuelf/biomed_abstractive_summarization

공식 코드

Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature

https://github.com/amathislab/poet

공식 코드

End-to-End Trainable Multi-Instance Pose Estimation with Transformers

https://github.com/amazon-research/bigdetection

공식 코드

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

https://github.com/amazon-research/few-shot-object-detection-benchmark

공식 코드

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

https://github.com/amazon-research/hyperbolic-embeddings

공식 코드

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

https://github.com/amazon-research/network-deconvolution-pp

공식 코드

Exploiting Invariance in Training Deep Neural Networks

https://github.com/amazon-research/omni-detr

공식 코드

Omni-DETR: Omni-Supervised Object Detection with Transformers

https://github.com/amazon-research/patchcore-inspection

공식 코드

Towards Total Recall in Industrial Anomaly Detection

https://github.com/amazon-research/progressive-coordinate-transforms

공식 코드

Progressive Coordinate Transforms for Monocular 3D Object Detection

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