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Found 6 papers, 2 papers with code
Towards Scene-Text to Scene-Text Translation
In this work, we study the task of ``visually" translating scene text from a source language (e. g., English) to a target language (e. g., Chinese).
MOVES: Movable and Moving LiDAR Scene Segmentation in Label-Free settings using Static Reconstruction
In the real world however, LiDAR scans consist of non-stationary dynamic structures - moving and movable objects.
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks
We introduce a novel network, GAFNet (Global Attention Fourier Net), which learns through large-scale pre-training over three image-text datasets (COCO, SBU, and CC-3M), for achieving high performance on downstream vision and language tasks.
TPFNet: A Novel Text In-painting Transformer for Text Removal
Further, we use a novel multi-headed decoder that generates a high-pass filtered image and a segmentation map, in addition to a text-free image.
ACLNet: An Attention and Clustering-based Cloud Segmentation Network
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images.
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