facebookresearch / taskmodularnets
A set of neural network modules, which are small fully connected layers operating in semantic concept space. These modules are configured through a gating function conditioned on the task to produce features representing the compatibility between the input image and the concept under consideration.
☆58Updated 3 years ago
Alternatives and similar repositories for taskmodularnets:
Users that are interested in taskmodularnets are comparing it to the libraries listed below
- Attribute-Object Visual Composition using Attributes as Operators☆65Updated 2 years ago
- Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)☆113Updated 2 years ago
- models and tools for -What makes ImageNet good for Transfer Learning?☆25Updated 7 years ago
- PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019☆48Updated 5 years ago
- Shaping Visual Representations with Language for Few-shot Classification, ACL 2020☆16Updated 3 years ago
- A simple but well-performing "single-hop" visual attention model for the GQA dataset☆20Updated 5 years ago
- Video Noise Contrastive Estimation☆66Updated last year
- Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)☆58Updated 5 years ago
- CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning☆104Updated 4 years ago
- Code for Learning to Learn Language from Narrated Video☆33Updated last year
- ☆19Updated 2 years ago
- ☆12Updated 6 years ago
- Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"☆59Updated 4 years ago
- dataset cleansing for Visual Genome☆30Updated 7 years ago
- For replication of the experiments in the paper Learning Robust Representations by Projecting Superficial Statistics Out☆13Updated 5 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 9 months ago
- Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]☆66Updated last year
- Repository to generate CLEVR-Dialog: A diagnostic dataset for Visual Dialog☆46Updated 5 years ago
- Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments☆16Updated 6 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆76Updated 5 years ago
- Charades Object Detection Dataset (ICCV 2017)☆31Updated 6 years ago
- Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Parsing"☆12Updated 5 years ago
- RareAct: A video dataset of unusual interactions☆32Updated 4 years ago
- REPresentAtion bIas Removal (REPAIR) of datasets☆56Updated 2 years ago
- An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping H…☆54Updated 6 years ago
- Code release for Hu et al., Explainable Neural Computation via Stack Neural Module Networks. in ECCV, 2018☆71Updated 5 years ago
- Code for the Paper "Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification"☆23Updated 5 years ago
- Measuring compositionality in representation learning☆73Updated 5 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆60Updated 4 years ago