This is the implementation of paper Discriminability objective for training descriptive captions. In this paper we use the data split from Context-aware Captions from Context-agnostic Supervision.

@inproceedings{chen2020htcn, title={Harmonizing Transferability and Discriminability for Adapting Object Detectors}, author={Chen, Chaoqi and Zheng, Zebiao and Ding, Xinghao and Huang, Yue and Dou, Qi ...

2) The binarized MIL constraint only ensures the interclass separability while neglecting the fine-grained discriminability within anomalous classes. To this end, we introduce a novel WS-VAD framework ...

Whether we've watched athletes do it or had the misfortune to experience it ourselves, 'choking' at an important moment when the pressure is on comes down to more than mental fortitude. For the first ...

Every professional who functions at a high level of performance knows the value of keeping things loose during harrowing tasks. Choking under pressure, or being unable to perform to one's highest ...

In addition, we develop a relative distance difference (RDD) loss function to improve feature discriminability under few-shot conditions. Experiments conducted on four target datasets demonstrate the ...

This point is related to the difference in behavioral studies between acuity, a measure of discriminability between stimuli, and accuracy, a more ecologically relevant measure of how well the animal ...

The corresponding discriminability d-prime was 1.07. For RT analyses, from a total of 12,320 trials across 110 participants, we excluded trials with no answer within the maximum time allowed (7 s) (N ...

Neuronal responses to similar stimuli change dynamically over time, raising the question of how internal representations can provide a stable substrate for neural coding. Recent work has suggested a ...

Young’s modulus field at the left and right ends of the model also aligns closely with the reference field, and the discriminability of Young’s modulus values in the three layers is higher, ...