Fundamental & Deep Learning (FDL) Team
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Restormer-Plus
Restormer-Plus PublicCode to implement Restormer-Plus, the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)
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E2E-Spot-MBS
E2E-Spot-MBS PublicCode to implement the Runner-up Solution to the CVPR'23 SoccerNet Challenge (Ball Action Spotting Task)
Repositories
- DGOL Public
ZJLAB-AMMI/DGOL’s past year of commit activity - Restormer-Plus Public
Code to implement Restormer-Plus, the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)
ZJLAB-AMMI/Restormer-Plus’s past year of commit activity - LLM4RL Public
A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM
ZJLAB-AMMI/LLM4RL’s past year of commit activity - LLM4Teach Public
Python code to implement LLM4Teach, a policy distillation approach for teaching reinforcement learning agents with Large Language Model
ZJLAB-AMMI/LLM4Teach’s past year of commit activity - CO3 Public
Python code to implement CO3, a fundamental-model based approach for open-world few-shot learning.
ZJLAB-AMMI/CO3’s past year of commit activity - VAE4OOD Public
Python code to implement an efficient approach to unsupervised OOD detection with VAE
ZJLAB-AMMI/VAE4OOD’s past year of commit activity - HS-OMRL Public
Python code to implement hard sampling based task representation learning for robust offline meta RL
ZJLAB-AMMI/HS-OMRL’s past year of commit activity - CKIM Public
Python code to implement a commonsense knowledge inference module (CKIM) assisted deep learning method for visual object detection
ZJLAB-AMMI/CKIM’s past year of commit activity - DeMix Public
Python codes to implement DeMix, a DETR assisted CutMix method for image data augmentation
ZJLAB-AMMI/DeMix’s past year of commit activity
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