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Found 5 papers, 2 papers with code
Forgedit: Text Guided Image Editing via Learning and Forgetting
Text-guided image editing on real or synthetic images, given only the original image itself and the target text prompt as inputs, is a very general and challenging task.
TFCNet: Temporal Fully Connected Networks for Static Unbiased Temporal Reasoning
New video classification benchmarks aiming to eliminate static biases are proposed, with experiments on these new benchmarks showing that the current clip-based 3D CNNs are outperformed by RNN structures and recent video transformers.
Ranked #2 on
Video Object Tracking
on CATER
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning
Most existing 3D CNN structures for video representation learning are clip-based methods, and do not consider video-level temporal evolution of spatio-temporal features.
Knowledge Integration Networks for Action Recognition
We design a three-branch architecture consisting of a main branch for action recognition, and two auxiliary branches for human parsing and scene recognition which allow the model to encode the knowledge of human and scene for action recognition.
V4D:4D Convolutional Neural Networks for Video-level Representation Learning
Most existing 3D CNNs for video representation learning are clip-based methods, and thus do not consider video-level temporal evolution of spatio-temporal features.
