Publishing Order in Top Computer Vision and Machine Learning Conferences
In the realm of computer vision and machine learning, the difficulty of publishing in various conferences can vary widely based on several factors, including submission rates, acceptance rates, the quality of submissions, and the reputation of the conference within the research community. This article will provide an overview of the general order of difficulty for publishing in CVPR, ICCV, ECCV, NeurIPS, and BMVC as of the last update in August 2023.
Overview of Conferences
Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), NeurIPS (Conference on Neural Information Processing Systems), and British Machine Vision Conference (BMVC) are all leading platforms for researchers in the field. Each conference has its own unique characteristics and challenges, which are detailed below.
CVPR: Conference on Computer Vision and Pattern Recognition
CVPR is widely regarded as one of the most prestigious conferences in the field of computer vision. It is highly competitive, with an acceptance rate of around 20-25%. The conference attracts a high number of submissions, making it one of the toughest to get published in. CVPR covers a wide range of topics within computer vision and pattern recognition, ensuring that only the most innovative and impactful research is selected.
ICCV: International Conference on Computer Vision
ICCV is another top-tier conference, similar in terms of competitiveness to CVPR. With a roughly 20-25% acceptance rate, it also attracts a large number of submissions, particularly every two years when it is held. Like CVPR, ICCV is highly esteemed within the research community, making it a challenging but rewarding platform for researchers to showcase their work.
ECCV: European Conference on Computer Vision
Less competitive than CVPR and ICCV, ECCV still maintains a high level of prestige. It has an acceptance rate of around 20-25%, making it comparable in difficulty. However, it is held annually, which can result in a slightly lower number of submissions but still requires high-quality research to be accepted.
NeurIPS: Conference on Neural Information Processing Systems
NeurIPS, also known as NeurIPS, predominantly focuses on machine learning but includes a significant number of papers related to computer vision. The acceptance rates for papers in this domain are similar to those of CVPR and ICCV, but the broader scope of NeurIPS can make it slightly easier for papers with a strong machine learning component that incorporate vision elements. The conference's wide focus can also attract a wider range of submissions, including research from other areas of machine learning, which can sometimes make it a bit more accessible.
BMVC: British Machine Vision Conference
BMVC is generally considered the least competitive among these conferences, with an acceptance rate of around 30-40%. While still a respected venue, it may not have the same level of prestige as the top three conferences. BMVC focuses on a broad range of topics in machine vision, ensuring that researchers can still find opportunities to publish their work without the intense competition found in the more prestigious conferences.
Key Takeaways
The order of difficulty can vary depending on specific topics, the focus of the research community at any given time, and individual experiences. Generally, the order from most to least difficult to publish in is:
NIPS (now NeurIPS) CVPR ICCV ECCV BMVCNeurIPS, with its broader scope, may be easier for researchers working on machine learning with vision components. BMVC, on the other hand, is less competitive but still requires a strong contribution to get accepted.
For more detailed insights, you can explore my Quora profile, where I have provided further analysis and examples based on personal experiences.