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Found 4 papers, 1 papers with code
Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation
In this paper, we introduce CRFormer, a model that iteratively calibrates multi-modal features in the transformer decoder.
Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions
Previous datasets and methods for classic VG task mainly rely on the prior assumption that the given expression must literally refer to the target object, which greatly impedes the practical deployment of agents in real-world scenarios.
EAVL: Explicitly Align Vision and Language for Referring Image Segmentation
In previous approaches, fused vision-language features are directly fed into a decoder and pass through a convolution with a fixed kernel to obtain the result, which follows a similar pattern as traditional image segmentation.
MMNet: Multi-Mask Network for Referring Image Segmentation
However, this task is challenging due to the distinct data properties between text and image, and the randomness introduced by diverse objects and unrestricted language expression.
