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Found 8 papers, 4 papers with code
Counterfactual Fairness for Predictions using Generative Adversarial Networks
It is often achieved through counterfactual fairness, which ensures that the prediction for an individual is the same as that in a counterfactual world under a different sensitive attribute.
DiT: Efficient Vision Transformers with Dynamic Token Routing
The proposed framework generates a data-dependent path per token, adapting to the object scales and visual discrimination of tokens.
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment
In this work, we formulate a new knowledge distillation framework to transfer the knowledge from self-supervised pre-trained models to any other student network by a novel approach named Embedding Graph Alignment.
Generalized Few-Shot Object Detection without Forgetting
Recently few-shot object detection is widely adopted to deal with data-limited situations.
IQDet: Instance-wise Quality Distribution Sampling for Object Detection
We propose a dense object detector with an instance-wise sampling strategy, named IQDet.
Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track
In this report, we present our object detection/instance segmentation system, MegDetV2, which works in a two-pass fashion, first to detect instances then to obtain segmentation.
BorderDet: Border Feature for Dense Object Detection
In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.
A Novel Artificial Fish Swarm Algorithm for Pattern Recognition with Convex Optimization
Among these parameters, visual and step are very significant in view of the fact that artificial fish basically move based on these parameters.
