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Found 6 papers, 4 papers with code
Towards Controllable and Photorealistic Region-wise Image Manipulation
Adaptive and flexible image editing is a desirable function of modern generative models.
Towards Efficient Scene Understanding via Squeeze Reasoning
Instead of propagating information on the spatial map, we first learn to squeeze the input feature into a channel-wise global vector and perform reasoning within the single vector where the computation cost can be significantly reduced.
Semantically Multi-modal Image Synthesis
Experiments on several challenging datasets demonstrate the superiority of GroupDNet on performing the SMIS task.
Semantic Flow for Fast and Accurate Scene Parsing
A common practice to improve the performance is to attain high resolution feature maps with strong semantic representation.
Ranked #2 on
Real-Time Semantic Segmentation
on Cityscapes test
Global Aggregation then Local Distribution in Fully Convolutional Networks
GALD is end-to-end trainable and can be easily plugged into existing FCNs with various global aggregation modules for a wide range of vision tasks, and consistently improves the performance of state-of-the-art object detection and instance segmentation approaches.
Ranked #1 on
Semantic Segmentation
on PASCAL VOC 2007
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images
Specifically, we adapt the terminologies of the traditional object detection task to the omnidirectional scenarios, and propose a novel two-stage object detector, i. e., Reprojection R-CNN by combining both ERP and perspective projection.
