w64228013

w64228013

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pytorch-template

PyTorch deep learning projects made easy.

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Exp-BLIP

Official implementation of BMVC2023 Oral paper: 《Describe Your Facial Expressions by Linking Image Encoders and Large Language Models》

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UncertaintyFuseNet-for-COVID-19-Classification

Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection'

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BPM-GCN

A new model for gait emotion recognition

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Detection-of-cells-nuclei-using-DETR

final project for a course on Deep Learning in Medical Imaging

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EVA

EVA Series: Visual Representation Fantasies from BAAI

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BabyLlama

Training code for Baby-Llama, our submission to the strict-small track of the BabyLM challenge.

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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UPD

[arXiv2024] Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models

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gpt4v-emotion

GPT-4V with Emotion

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VPGTrans

Codes for VPGTrans: Transfer Visual Prompt Generator across LLMs. VL-LLaMA, VL-Vicuna.

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GPT4Affectivity

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

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KiU-Net-pytorch

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

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nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

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WSS_POLE

This is the official implementation of our PrOmpt cLass lEarning (POLE).

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emotic

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

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BorLan

[ICCV2023] Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm

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FGVP

Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023

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CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

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CCIM

[CVPR2023] Context De-confounded Emotion Recognition

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AMC-grounding

[CVPR 2023] Code for "Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations"

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PromptSRC

[ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

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multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

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