fiveai/detection_calibration

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Created 7 months ago
Updated about 1 month ago

fiveai/detection_calibration

fiveai

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[ECCV 2024 - Oral Presentation] Python library that provides tools for calibrating object detectors and evaluating them

LAME

This code accompanies the paper "Parameter-free Online Test-time Adaptation".

making-better-mistakes

on-episodes-fsl

This repository contains the code for the paper On Episodes, Prototypical Networks, and Few-shot Learning

MoCaE

The official implementation of "MoCaE: Mixture of Calibrated Experts Significantly Improves Accuracy in Object Detection"

hardest

The HARDness ESTimation package: A library for ranking images from a dataset by hardness with respect to a specific detector.

aws-okta

aws-vault like tool for Okta authentication. Fork from https://github.com/segmentio/aws-okta

ros_comm

saod

The official implementation of Self-aware Object Detection [CVPR 2023]

GFCS

Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"

parot

PaRoT: A Practical Framework for Robust Deep Neural Network Training

terraform-provider-freeipa

hGP_experiments

This repository presents the AK-MCS algorithm with a Hierarchical Gaussian Processes on some benchmark problems alongside baseline methods.

bgp-exporter

Prometheus BGP exporter

pre-commit-prototool

"Batteries included" prototool pre-commit hook

aiodxf

asyncio port of dxf: https://github.com/davedoesdev/dxf

SimBA-PCA