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Found 7 papers, 3 papers with code
VReBERT: A Simple and Flexible Transformer for Visual Relationship Detection
Visual Relationship Detection (VRD) impels a computer vision model to 'see' beyond an individual object instance and 'understand' how different objects in a scene are related.
How You Start Matters for Generalization
Characterizing the remarkable generalization properties of over-parameterized neural networks remains an open problem.
Recursive Training for Zero-Shot Semantic Segmentation
We propose a recursive training scheme to supervise the retraining of a semantic segmentation model for a zero-shot setting using a pseudo-feature representation.
Improving Action Quality Assessment using Weighted Aggregation
We assess the effects of the depth and input clip size of the convolutional neural network on the quality of action score predictions.
Ranked #6 on
Action Quality Assessment
on MTL-AQA
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
Evaluation of the proposed methods was done on three standard public datasets.
Ranked #4 on
Activity Recognition
on RWF-2000
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
Conditional GANs (cGAN), in their rudimentary form, suffer from critical drawbacks such as the lack of diversity in generated outputs and distortion between the latent and output manifolds.
Attention Guided Semantic Relationship Parsing for Visual Question Answering
Humans explain inter-object relationships with semantic labels that demonstrate a high-level understanding required to perform complex Vision-Language tasks such as Visual Question Answering (VQA).
