DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance.
Ranked #12 on Object Detection on COCO test-dev
For portrait matting without the green screen, existing works either require auxiliary inputs that are costly to obtain or use multiple models that are computationally expensive.
Ranked #1 on Image Matting on PHM-100
In contrast to existing works, which mostly operate by latent codes, we discover interpretable directions in the space of the generator parameters.
In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN.
Ranked #1 on Panoptic Segmentation on COCO minival
In this paper, we design a simple yet powerful deep network architecture, U$^2$-Net, for salient object detection (SOD).
Ranked #1 on Salient Object Detection on PASCAL-S
Current GAN-based art generation methods produce unoriginal artwork due to their dependence on conditional input.
In our method, however, a fixed sparse set of learned object proposals, total length of $N$, are provided to object recognition head to perform classification and location.
Ranked #15 on Object Detection on COCO minival