jodyngo

audio-streaming

Bilinear-Interpolation

deepedgebench

Python framework for testing Tensorflow imagenet image classification models trained on the ImageNet dataset and object detection models trained on the COCO dataset on various platforms

DMD-Color

FastSaliency

Code for "SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection" and "Lightweight Salient Object Detection via Hierarchical Visual Perception Learning"

lightweightSOD

motion-saliency-dynamic-mode-decomposition

TMO

[WACV 2023] Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation

UAV-streaming

X-adv

Official PyTorch implemetation of paper "X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection".

jodyngo/TMO

[WACV 2023] Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation

jodyngo/audio-streaming

jodyngo/lightweightSOD

jodyngo/motion-saliency-dynamic-mode-decomposition

jodyngo/PySODEvalToolkit

PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

jodyngo/PyTorch-ONNX-TFLite

Conversion of PyTorch Models into TFLite

jodyngo/UAV-streaming

jodyngo/Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

jodyngo/DADS

云边协同- collaborative inference📚Dynamic adaptive DNN surgery for inference acceleration on the edge

jodyngo/DataAnalysis

jodyngo/DDP

jodyngo/DeViT

PyTorch implementation of the paper: Decomposing Vision Transformers for Collaborative Inference in Edge Devices

jodyngo/dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

jodyngo/DNN-Partition

DNN partition edge-cloud co-infer

jodyngo/EdgeCam

A Distributed Camera System for Inference Scheduling and Continuous Learning in Video Analytics

jodyngo/EdgeDI

Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"

jodyngo/EdgeKE

Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"

jodyngo/EdgeLD

Code for paper "Locally Distributed Deep Learning Inference on Edge Device Clusters"

jodyngo/examples-1

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

jodyngo/FlexFlow

A distributed deep learning framework that supports flexible parallelization strategies.

jodyngo/Hybrid-Models-Efficient-Edge-Inference-by-Selective-Query

jodyngo/LeNo

The official implementation of AAAI 2023 "LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise"

jodyngo/Mimicking-packet-loss-at-the-edge-for-distributed-inference

Mimicking packet loss at the edge for distributed inference

jodyngo/MSE-CNN-Implementations

Code database with the implementation of MSE-CNN, from the paper "DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC".

jodyngo/Pipe-BD

[DATE'23] Pipe-BD: Pipelined Parallel Blockwise Distillation

jodyngo/sc2-benchmark-Supervised-Compression-for-Split-Computing

[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"

jodyngo/TOG

Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG,

jodyngo/vista-net

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

jodyngo/visual-sentiment-analysis

Visual Sentiment Analysis

jodyngo/Visual-Sentiment-Analysis-for-Review-Images-with-Item-Oriented-and-User-Oriented-CNN

Code for the paper "Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN", ACM MM'17