Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network

• URL: http://arxiv.org/abs/2301.03160v1
• Date: Mon, 9 Jan 2023 03:57:14 GMT
• Title: Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network
• Authors: Haowei Wang, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Xiaoshuai Sun
• Abstract summary: Panoptic Narrative Grounding (PNG) is an emerging cross-modal grounding task. We propose a one-stage network for real-time PNG, termed End-to-End Panoptic Narrative Grounding network (EPNG) Our method achieves a significant improvement of up to 9.4% accuracy.
• Score: 39.64953170583401
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Panoptic Narrative Grounding (PNG) is an emerging cross-modal grounding task, which locates the target regions of an image corresponding to the text description. Existing approaches for PNG are mainly based on a two-stage paradigm, which is computationally expensive. In this paper, we propose a one-stage network for real-time PNG, termed End-to-End Panoptic Narrative Grounding network (EPNG), which directly generates masks for referents. Specifically, we propose two innovative designs, i.e., Locality-Perceptive Attention (LPA) and a bidirectional Semantic Alignment Loss (SAL), to properly handle the many-to-many relationship between textual expressions and visual objects. LPA embeds the local spatial priors into attention modeling, i.e., a pixel may belong to multiple masks at different scales, thereby improving segmentation. To help understand the complex semantic relationships, SAL proposes a bidirectional contrastive objective to regularize the semantic consistency inter modalities. Extensive experiments on the PNG benchmark dataset demonstrate the effectiveness and efficiency of our method. Compared to the single-stage baseline, our method achieves a significant improvement of up to 9.4% accuracy. More importantly, our EPNG is 10 times faster than the two-stage model. Meanwhile, the generalization ability of EPNG is also validated by zero-shot experiments on other grounding tasks.

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