155 Open source projects that are alternatives of or similar to just-ask

NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)

A PyTorch implementation of VIOLET

ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

Bottom-up features extractor implemented in PyTorch.

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

A framework for Multimodal Intelligence research from Inspur HSSLAB.

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Code for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" （NeurIPS 2019）

A paper list of research conducted based on wikiHow

PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning

Awesome Graph Self-Supervised Learning

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

question generation model with KorQuAD dataset

X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Official Tensorflow Implementation of the AAAI-2020 paper "Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction"

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

An NLP system for generating reading comprehension questions

Interface for easier topic modelling.

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

No description or website provided.

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Weakly supervised medical named entity classification

Mid-level PyTorch Based Framework for Visual Question Answering.

A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"