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Found 8 papers, 2 papers with code
Text2Street: Controllable Text-to-image Generation for Street Views
Text-to-image generation has made remarkable progress with the emergence of diffusion models.
3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
In our solution, we regard the video panoptic segmentation task as a segmentation target querying task, represent both semantic and instance targets as a set of queries, and then combine these queries with video features extracted by neural networks to predict segmentation masks.
Perceive, Excavate and Purify: A Novel Object Mining Framework for Instance Segmentation
Then, we propose an object excavating mechanism to discover indistinguishable objects.
Motion-state Alignment for Video Semantic Segmentation
In recent years, video semantic segmentation has made great progress with advanced deep neural networks.
5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation
Video object segmentation (VOS) has made significant progress with the rise of deep learning.
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
On the other hand, InsCon introduces the pull and push of cell-instance, which utilizes cell consistency to enhance fine-grained feature representation for precise boundary localization.
Structure Guided Lane Detection
Next, multi-level structural constraints are used to improve the perception of lanes.
Ranked #29 on
Lane Detection
on CULane
Rethinking BiSeNet For Real-time Semantic Segmentation
BiSeNet has been proved to be a popular two-stream network for real-time segmentation.
Ranked #8 on
Real-Time Semantic Segmentation
on Cityscapes test
