[Thesis'24] Efficient Class Incremental Learning for Object Detection
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Updated
Jun 30, 2024 - Python
[Thesis'24] Efficient Class Incremental Learning for Object Detection
Extremely light-weight MixNet with Top-1 75.7% and 2.5M params
Tagsy, your friendly Discord bot, designed to enhance server interaction with its intuitive tagging system
Exploring Variational Deep Q Networks. A study undertaken for the University of Cambridge's R244 Computer Science Masters Course. Inspired by https://arxiv.org/abs/1711.11225/.
Melanoma Classification using Semi-supervised learning
The semantic segmentation of remote sensing images
Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
Implementation of efficient backbones for computer vision task.
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Efficient 3D Backbone Network for Temporal Modeling
Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models".
Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.
Any-Precision Deep Neural Networks (AAAI 2021)
NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tricks".
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
[MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
[KDD'22] Learned Token Pruning for Transformers
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
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