[ICCV 2017] Torch code for Grad-CAM
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Updated
Sep 17, 2022 - Lua
[ICCV 2017] Torch code for Grad-CAM
Dataset of images of trash; Torch-based CNN for garbage image classification
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Models and code related to sketch simplification of rough sketches.
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
A Real-time Mario Kart 64 AI using ConvNets.
Real time face alignment
An implementation of the LRCN in Torch
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)
Multimodal Deep Q-Network (MDQN) for modelling human-like social intelligence.
Torch implementation of Severyn and Moschitti's SIGIR 2015 CNN model for question answering
Temporal augmentation with two-stream ConvNet features on human action recognition
Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
Segmenting WSIs using Deep Convolutional Neural Networks
Semantic and Verbatim Word Spotting in Torch
Weakly Supervised Learning for Object Counting with Convolutional Neural Networks
Cancer Suppressor Gene and Oncogene Prediction using Deep Learning (CNN)
This implements training of NU-ResNet from NU-ResNet: Deep Residual Networks for Thai Food Image Recognition
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