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smallbug2000木蟲 (著名寫手)
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[求助]
論文大修，但是改不動(dòng)，郁悶呀
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投了一篇論文到某期刊，最近返回結(jié)果，三個(gè)審稿人，其中兩個(gè)審稿人意見較少。另一個(gè)覺得算法的創(chuàng)新性不夠，給了大修，悲劇的是這篇論文之前投到CVPR去，也是這個(gè)審稿人審的（CVPR據(jù)了我），因?yàn)閷徃逡庖娀疽粯樱士梢詳喽ㄊ峭粚徃迦�。最終編輯給了大修，但是我很絕望，因?yàn)榻o大修的審稿人從一開始就不認(rèn)可我的算法，我想既然我認(rèn)真修改了，可能還是會(huì)被他據(jù)。將編輯及大修審稿人意見附后，在此向各位大牛咨詢兩件事：1）該論文是否值得大修，修后被據(jù)的概率多大？2）如果大修，如果對(duì)付審稿人這么尖銳的問題。在些感謝，對(duì)于好的建議發(fā)放金幣。 Dear Dr. XXX, Reviewers have now commented on your paper. You will see that they are advising that you revise your manuscript. If you are prepared to undertake the work required, I would be pleased to reconsider my decision. The reviewers' comments can be found at the end of this email or can be accessed by following the provided link. When revising your work, please submit a list of changes or a rebuttal against each point which is being raised when you submit the revised manuscript. Yours sincerely XXX, Ph.D. Associate Editor XXXXX Reviewers' comments: The paper was reviewed by three experts on the topic. The reviewers agree that the paper discusses an important problem worth pursuing. They, however, also unanimously point out short comings of the paper, most important of which is the lack of thorough theoretical and experimental validation of the claims as well as references to prior work. The paper needs major revision to be considered for publication. If the authors decide to submit a major revision, please make sure to address the points raised by the reviewers. Reviewer #2: : This paper deals with the problem of visual tracking with irregular object motion. The particle set shift approach based on analytic optimization is proposed to deal with the incorrect state dynamic model. Particles are first sampled by the state dynamic model and they are moved to higher likelihood regions by newton optimization by maximizing likelihoods. The efficacy of the proposed approach is demonstrated via experiments with real sequences. - Positive points: Practically effective approach - Negative points: Not novel approach, rather heuristic, not convincing experimental results : The main problem of this paper is the proposed approach is not novel. The proposed approach is quite similar to [18] except the fact that the proposed approach used newton optimization instead of mean shift. : The proposed approach is rather heuristic. In the algorithm, particle weights are only proportional to likelihood, and this holds true for SIR particle filter where particles are sampled from state dynamic model. However, since particles are moved to higher likelihoods artificially, the weights determined from likelihoods will no longer correctly represent the true posterior. The proposed approach is rather similar to the particle swarm optimization-based tracking, e.g., "Sequential particle swarm optimization for visual tracking" by xxxx. Another problem of the proposed approach is that it might result in worse tracking results when there are appearance changes caused by various issues such as pose and lighting changes. : Since the proposed work is based on particle filter, the optimal importance functions used for visual tracking are also relevant. If we can use the optimal importance function, the irregular motion can be handled at least partially. Thus the following papers should be cited and commented as related work: - ref1xxxx - ref2xxxx : The supplementary video result is too limited. Only a result for a single short sequence is not sufficient to support the validity of the proposed approach. Why is there no rotational motion in the results? The paper says that the state is translation, scale, and rotation, but there is no rotational motion in the results in the paper and video. : There must be cases that all particles are outside the basin of convergence. Since the particle are shifted by local optimization, particles will diverge from the optimal positions and tracking will fail. In the proposed approach, there is no consideration of this possibility. : The optimization will increase the computational complexity considerably. It is necessary to compare the other algorithms under the same computational time, e.g., proposed framework with 100 particles and standard particle filter with 1000 particles. My current recommendation is major revision. If the authors want to make the paper accepted in spite of the limited novelty and contribution, I think the followings should be addressed in the revision: - Additional experiments with object appearance changes like illumination - Addition of a mechanism to deal with the local optima problems with additional experiments with related videos - Comparison under the same computational complexity for different tracking algorithms [ Last edited by cxksama on 2012-9-6 at 10:48 ] |
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yangsh_nj
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2樓2012-09-06 09:32:14
smallbug2000
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3樓2012-09-06 09:35:48
rockinuk
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【答案】應(yīng)助回帖
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cxksama: 金幣+3, 鼓勵(lì)交流，有道理。 2012-09-06 09:57:22
cxksama: 金幣+3, 鼓勵(lì)交流，有道理。 2012-09-06 09:57:22
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1) 若沒辦法根據(jù) reviewer 的意見大修的話~就改投吧~ 或是 建議 editor 改更換新的 rviewer. 2) 2F 的意見及立場(chǎng)固然是沒錯(cuò)，但我個(gè)人覺得沒有什么不妥。 Why? 樓主并沒有把 reviewer 的姓名公開。這是一個(gè) "盲審"；editor 也沒有對(duì)樓主公開誰是 reviewer，所以樓主并沒有道德上的問題。 至于樓主把 editor 的姓名及單位公開，這也沒什么不妥的。 Editor 本身就是一個(gè)公開的信息，不論在投稿系統(tǒng)，在官網(wǎng)的Editorial board 上，都是公開的。 身為一名 editor 是可接受 "公議"，也讓投稿作者(樓主)知道責(zé)任編輯是誰。 基于此，我個(gè)人并不覺得樓主有什么錯(cuò)，或道德上的瑕疵。 |
4樓2012-09-06 09:51:23
rockinuk
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